sophistry-bench-sprint 0.1.6

Single-agent advocacy variant of sophistry-bench for the Prime Intellect Reward Hacking Sprint. Pre-registered hypothesis: training Llama-3.2-1B on a programmatic claim-count cliff (peak at n=8) will cause cliff convergence within 100 GRPO steps; three adversarial canary rewards detect format-hacking. Self-contained (vendored from sophistry-bench v0.1.19) — no runtime dependency on the main package, to work around PI training-infra's exclude-newer index filter.

pip install sophistry-bench-sprint

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Source distribution for sophistry-bench-sprint 0.1.6
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sophistry_bench_sprint-0.1.6.tar.gz	498.8 kB	Jun 13, 2026	Without provenance	Details

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sophistry_bench_sprint-0.1.6-py3-none-any.whl 502.6 kB Jun 13, 2026 Without provenance	Python 3	none	any	Details

Total release size: 1.0 MB

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Download URL	sophistry_bench_sprint-0.1.6.tar.gz
Size	498.8 kB
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BLAKE2b-256 checksum How to use checksums	`8b0d2ebc2235781276eb7f6ae2afb6825e7e05b69e10869f2f5ac9d769a66cab`
Upload date	Jun 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.3`

Release files / sophistry_bench_sprint-0.1.6-py3-none-any.whl

Download URL	sophistry_bench_sprint-0.1.6-py3-none-any.whl
Size	502.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`55fa0e830b4b7c92bfb37d3fbb15b911ea15c19165788db0f39b1bdd13cdb474`
BLAKE2b-256 checksum How to use checksums	`782ea0c5f1b327e83da4220e908f3cb3dc80a313fa4e3fe50ac3f07d3954fb43`
Upload date	Jun 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.3`

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